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A psychometric theory that measures up to marketing reality: An adapted Many Faceted IRT model

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  • Wang, Luming
  • Finn, Adam

Abstract

符合市场行销现实的心理计量学理论:

Suggested Citation

  • Wang, Luming & Finn, Adam, 2014. "A psychometric theory that measures up to marketing reality: An adapted Many Faceted IRT model," Australasian marketing journal, Elsevier, vol. 22(2), pages 93-102.
  • Handle: RePEc:eee:aumajo:v:22:y:2014:i:2:p:93-102
    DOI: 10.1016/j.ausmj.2013.11.001
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    References listed on IDEAS

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    1. Rossi P. E & Gilula Z. & Allenby G. M, 2001. "Overcoming Scale Usage Heterogeneity: A Bayesian Hierarchical Approach," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 20-31, March.
    2. Peter E. Rossi & Greg M. Allenby, 2003. "Bayesian Statistics and Marketing," Marketing Science, INFORMS, vol. 22(3), pages 304-328, July.
    3. Martijn G. de Jong & Jan-Benedict E. M. Steenkamp & Bernard P. Veldkamp, 2009. "A Model for the Construction of Country-Specific Yet Internationally Comparable Short-Form Marketing Scales," Marketing Science, INFORMS, vol. 28(4), pages 674-689, 07-08.
    4. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    5. Wang, Luming & Finn, Adam, 2013. "Dual-faceted multidimensional IRT models with hierarchical structure," Australasian marketing journal, Elsevier, vol. 21(2), pages 111-118.
    6. Martijn G. De Jong & Jan-Benedict E. M. Steenkamp & Jean-Paul Fox, 2007. "Relaxing Measurement Invariance in Cross-National Consumer Research Using a Hierarchical IRT Model," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(2), pages 260-278, June.
    7. David Andrich, 1978. "A rating formulation for ordered response categories," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 561-573, December.
    8. Netemeyer, Richard G. & Krishnan, Balaji & Pullig, Chris & Wang, Guangping & Yagci, Mehmet & Dean, Dwane & Ricks, Joe & Wirth, Ferdinand, 2004. "Developing and validating measures of facets of customer-based brand equity," Journal of Business Research, Elsevier, vol. 57(2), pages 209-224, February.
    9. Eric T. Bradlow & Neal Thomas, 1998. "Item Response Theory Models Applied to Data Allowing Examinee Choice," Journal of Educational and Behavioral Statistics, , vol. 23(3), pages 236-243, September.
    10. Yoo, Boonghee & Donthu, Naveen, 2001. "Developing and validating a multidimensional consumer-based brand equity scale," Journal of Business Research, Elsevier, vol. 52(1), pages 1-14, April.
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